61 Results

Poster	Wed 14:00	Toward Understanding Privileged Features Distillation in Learning-to-Rank Shuo Yang · Sujay Sanghavi · Holakou Rahmanian · Jan Bakus · Vishwanathan S. V. N.
Workshop		Domain-Adjusted Regression or: ERM May Already Learn Features Sufficient for Out-of-Distribution Generalization Elan Rosenfeld · Pradeep Ravikumar · Andrej Risteski
Workshop		Do Neural Networks Trained with Topological Features Learn Different Internal Representations?
Competition	Wed 6:50	MonsieurSolver - Feature extraction from spectra using a multi-instance learning approach
Workshop		SMILE: Sample-to-feature MIxup for Efficient Transfer LEarning Xingjian Li · Haoyi Xiong · Cheng-Zhong Xu · Dejing Dou
Workshop		Contrastive Unsupervised Learning of World Model with Invariant Causal Features Rudra PK Poudel · Harit Pandya · Roberto Cipolla
Workshop		Learning from physics-based features improves protein property prediction Amy Wang · Ava Soleimany · Alex X Lu · Kevin Yang
Affinity Workshop		The Effects of Acoustic Features of Speech on the Performance of an Automatic Speaker Recognition Tumisho Mokgonyane
Poster	Tue 9:00	Dataset Distillation using Neural Feature Regression Yongchao Zhou · Ehsan Nezhadarya · Jimmy Ba
Workshop		Self-supervised Representation Learning Across Sequential and Tabular Features Using Transformers Rajat Agarwal · Anand Muralidhar · Agniva Som · Hemant Kowshik
Poster	Tue 9:00	Decoupling Features in Hierarchical Propagation for Video Object Segmentation Zongxin Yang · Yi Yang
Poster	Tue 9:00	Continual learning: a feature extraction formalization, an efficient algorithm, and fundamental obstructions Binghui Peng · Andrej Risteski